Data Engineering Intern mfd
Data Engineering Intern mfd
Posted on :
11-04-2025
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1 Vacancy
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Job Description
Your mission
At sewts we automate what others cant. Gripping of deformable materials like textiles is a task most humans see as intuitive and simple. However this is a complicated task for robots as they lack the detailed and contextual understanding of where and with what level of sensitivity to handle these textiles. As deeptech enthusiasts we teach robots humanlike perception skills.
We are building a foundational technology stack calledsewts.JUPITER. JUPITER uses genAI to simulate realistically the behavior of deformable & soft objects to create corresponding computer vision models and grabbing strategies. Based on our physical AI first time ever robots get enabled to handle soft & deformable materials. With over 10M in funding we will bring automation into all untapped industries like cloth manufacturing textiles handling recycling & ecommerce.
You will make the difference! We have built a highperformance culture where efficient target achievement and consistent development is at the core of our company philosophy. We are working independently with ownership and a strong motivation to go the extra mile. We are setting our goals high enjoying our daily challenges while loving to share a laugh with our fellow team members. We are a diverse team with many different nationalities which values direct communication and open feedback.
You will be an integral part of ourJUPITER Software Team which is responsible for bringing a highly performant AI platform specialised on deformable materials to life. It runs in all our robotic products which comprises a framework to train AI models a middleware to run a configurable pipeline including AI models computer vision algorithms on an edge device and a user interface for configuration calibration and monitoring.
As our new Data Engineering Intern (m/f/d)you will be an integral part of our Software Team. You will design our process for data gathering and data usage in our AI model. You will build implement and fill our database of training data and program the API needed to retrieve pictures from it for training testing and validation within our framework.
How you will create an impact with us:
We are building a foundational technology stack calledsewts.JUPITER. JUPITER uses genAI to simulate realistically the behavior of deformable & soft objects to create corresponding computer vision models and grabbing strategies. Based on our physical AI first time ever robots get enabled to handle soft & deformable materials. With over 10M in funding we will bring automation into all untapped industries like cloth manufacturing textiles handling recycling & ecommerce.
You will make the difference! We have built a highperformance culture where efficient target achievement and consistent development is at the core of our company philosophy. We are working independently with ownership and a strong motivation to go the extra mile. We are setting our goals high enjoying our daily challenges while loving to share a laugh with our fellow team members. We are a diverse team with many different nationalities which values direct communication and open feedback.
You will be an integral part of ourJUPITER Software Team which is responsible for bringing a highly performant AI platform specialised on deformable materials to life. It runs in all our robotic products which comprises a framework to train AI models a middleware to run a configurable pipeline including AI models computer vision algorithms on an edge device and a user interface for configuration calibration and monitoring.
As our new Data Engineering Intern (m/f/d)you will be an integral part of our Software Team. You will design our process for data gathering and data usage in our AI model. You will build implement and fill our database of training data and program the API needed to retrieve pictures from it for training testing and validation within our framework.
How you will create an impact with us:
- You manage a database holding metadata for pictures AI Artifacts;
- You program an interface to query the metadata retrieve the data behind it and use it in our training framework;
- You design and document the processes to handle data and the database;
- You support the rollout of the process;
- You implement solutions for data ingestion and data preparation.
Your profile
- You are currently studying or have recently finished your studies in the field of Computer Science or a similar subject;
- You have already gained firsthand experience with NOSQL databases;
- You have good programming skills in Python and experience with shell scripting;
- You have previous experience in Data Engineering (a big plus!;
- You have a handson proactive work style with the ability to skilfully articulate and present your ideas to your team.
Why us
- Be a part of a leading robotics and automation startup in Munich and leave an impact from day one;
- Engage in regular team events (e.g. barbecues summer parties ski trips and laser tag);
- Develop your career through regular feedback cycles through weekly and quarterly checkins.
Your Talent Partner
We want to ensure a smooth recruitment process for you. If you have questions or would like to know more about this role your Talent Partner Fatima is there to support you.
You may use the following channels to connect with her:
Email:
WhatsApp:
You may use the following channels to connect with her:
Email:
WhatsApp:
About us
At sewts we are automating complex processes by teaching robots humanlike perception skills. We are a young ambitious and diverse team of eight different nationalities with the mission to become the global goto Partner for automated processing of deformable and soft materials. We are always willing to push our boundaries to reach our goals and targets while learning from the daily challenges of an emerging startup. We are always on a hunt for likeminded individuals who are passionate about robotics automation AI and courageous to create an impact. Are you ready
Required Experience:
Intern
Employment Type
Full-Time
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